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Merged
SethTisue merged 2 commits into from
Apr 19, 2021
Merged

Add ONNX-Scala and NDScala #520

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Add ONNX-Scala and NDScala
EmergentOrder Apr 8, 2021
614eec2
Add ONNX-Scala and NDScala (remove from README, add to to template)
EmergentOrder Apr 19, 2021
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Add ONNX-Scala and NDScala (remove from README, add to to template)
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@EmergentOrder
EmergentOrder committed Apr 19, 2021
commit 614eec2a073850ca14df0762ba582d370ea5df68
2 changes: 0 additions & 2 deletions README.md
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Expand Up @@ -332,9 +332,7 @@ Name | Description | GitHub Activity
[mgo](https://github.com/openmole/mgo) | Purely functional genetic algorithms for multi-objective optimisation | ![GitHub stars](https://img.shields.io/github/stars/openmole/mgo) ![GitHub commit activity](https://img.shields.io/github.amrom.workers.devmit-activity/y/openmole/mgo)
[MLLib](https://spark.apache.org/mllib/) | Machine Learning framework for Spark |
[nd4s](https://github.com/deeplearning4j/nd4s) | ND4S: N-Dimensional Arrays for Scala. Scientific Computing a la Numpy. Based on ND4J. | ![GitHub stars](https://img.shields.io/github/stars/deeplearning4j/nd4s) ![GitHub commit activity](https://img.shields.io/github.amrom.workers.devmit-activity/y/deeplearning4j/nd4s)
[NDScala](https://github.com/SciScala/NDScala) | N-dimensional arrays in Scala 3. Think NumPy ndarray, but with compile-time type-checking/inference over shapes, tensor/axis labels & numeric data types | ![GitHub stars](https://img.shields.io/github/stars/sciscala/ndscala) ![GitHub commit activity](https://img.shields.io/github.amrom.workers.devmit-activity/y/sciscala/ndscala)
[numsca](https://github.com/botkop/numsca) | numsca is numpy for scala | ![GitHub stars](https://img.shields.io/github/stars/botkop/numsca) ![GitHub commit activity](https://img.shields.io/github.amrom.workers.devmit-activity/y/botkop/numsca)
[ONNX-Scala](https://github.com/EmergentOrder/onnx-scala) | An ONNX (Open Neural Network eXchange) API and Backend for Typeful, Functional Deep Learning in Scala | ![GitHub stars](https://img.shields.io/github/stars/emergentorder/onnx-scala) ![GitHub commit activity](https://img.shields.io/github.amrom.workers.devmit-activity/y/emergentorder/onnx-scala)
[openmole](https://github.com/openmole/openmole) | Workflow engine for exploration of simulation models using high throughput computing | ![GitHub stars](https://img.shields.io/github/stars/openmole/openmole) ![GitHub commit activity](https://img.shields.io/github.amrom.workers.devmit-activity/y/openmole/openmole)
[Optimus](https://github.com/vagmcs/Optimus) | Optimus is a mathematical programming library for Scala. | ![GitHub stars](https://img.shields.io/github/stars/vagmcs/Optimus) ![GitHub commit activity](https://img.shields.io/github.amrom.workers.devmit-activity/y/vagmcs/Optimus)
[OscaR](https://bitbucket.org/oscarlib/oscar/wiki/Home) | a Scala toolkit for solving Operations Research problems |
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2 changes: 2 additions & 0 deletions template.md
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Expand Up @@ -331,7 +331,9 @@ Name | Description | GitHub Activity
* [openmole/mgo](@ghRepo)
[MLLib](https://spark.apache.org/mllib/) | Machine Learning framework for Spark |
* [deeplearning4j/nd4s](@ghRepo)
* [SciScala/NDScala](@ghRepo)
* [botkop/numsca](@ghRepo)
* [EmergentOrder/ONNX-Scala](@ghRepo)
* [openmole/openmole](@ghRepo)
* [vagmcs/Optimus](@ghRepo)
[OscaR](https://bitbucket.org/oscarlib/oscar/wiki/Home) | a Scala toolkit for solving Operations Research problems |
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